Databricks is present in 5 markets with 5 products. Databricks has 307 reviews with an overall average rating of 4.6.
Analytics Query Accelerators
Analytics query accelerators provide SQL or SQL-like query support on a broad range of data sources. They are most frequently used as a means of providing interactive and production-optimized delivery on semantically flexible data stores that do not inherently have the capabilities to provide sufficient performance or ease of use on their own. Commonly used in conjunction with data lakes, they aim to support BI dashboards, interactive query capabilities, data modeling and other analytics use cases.
Databricks has 1 product in Analytics Query Accelerators market
Cloud Database Management Systems
Gartner defines the market for cloud database management systems (DBMSs) as the market for software products that store and manipulate data and that are primarily delivered as software as a service (SaaS) in the cloud. Cloud DBMSs may optionally be capable of running on-premises, or in hybrid, multicloud or intercloud configurations. They can be used for transactional work and/or analytical work. They may have features that enable them to participate in a wider data ecosystem. Must-have capabilities for this market include: Availability as SaaS on provider-managed public or private cloud systems; Management of data within cloud storage — that is, cloud DBMSs are not hosted in infrastructure as a service (IaaS), such as in a virtual machine or a container managed by the customer.
Databricks has 1 product in Cloud Database Management Systems market
Data Science and Machine Learning Platforms
Gartner defines a data science and machine learning platform as an integrated set of code-based libraries and low-code tooling that support the independent use by, and collaboration between, data scientists and their business and IT counterparts through all stages of the data science life cycle. These stages include business understanding, data access and preparation, experimentation and model creation, and sharing of insights. They also support machine learning engineering workflows including creation of data, feature, deployment and testing pipelines. The platforms are provided via desktop client or browser with supporting compute instances and/or as a fully managed cloud offering.
Databricks has 1 product in Data Science and Machine Learning Platforms market
DataOps Tools
DataOps tools provide greater automation and agility over the full life cycle management of data pipelines in order to streamline data operations. The core capabilities of a DataOps tool include: Orchestration: Connectivity, workflow automation, lineage, scheduling, logging, troubleshooting and alerting Observability: Monitoring live/historic workflows, insights into workflow performance and cost metrics, impact analysis Environment Management: Infrastructure as code, resource provisioning, environment repository templates, credentials management Deployment Automation: Version control, release pipelines, approvals, rollback and recovery Test Automation: Business rules validation, test scripts management, test data management
Databricks has 1 product in DataOps Tools market
Generative AI Model Providers
Generative AI (GenAI) model providers focus on developing and providing generative AI technologies and make them available to other developers, businesses and general public through APIs or commercial licenses. Generative AI refers to technologies that can generate new derived versions of content, strategies, designs and methods by learning from large repositories of original source content. This layer of vendors offers access to commercial or open-source foundation models such as LLMs and other types of generative algorithms (such as GANs, genetic/evolutionary algorithms or simulations). These models can be provided for developers to embed into their applications or be used as base models for fine-tuning customized models for their software offerings or internal enterprise use cases. This helps businesses gain the benefits of advanced generative AI technologies while avoiding the high costs, expertise requirements and time needed to develop these technologies in-house. Please note that this market is based on Beta research and is continuously evolving. We will be making changes as and when there are new updates.
Databricks has 1 product in Generative AI Model Providers market